Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/birol91/quorum-agentsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/birol91/quorum-agents/automotive-opensource-recommender)<a href="https://agentmods.dev/agents/birol91/quorum-agents/automotive-opensource-recommender"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-opensource-recommender/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/birol91/quorum-agents/automotive-opensource-recommender"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-opensource-recommender.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00026 | $0.00258 |
| Opus 5 | $0.00013 | $0.00129 |
| Sonnet 5 | $0.00005 | $0.00052 |
| Haiku 4.5 | $0.00003 | $0.00026 |
Grade A, and why
opensource-recommender scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Automotive tool consultant specializing in opensource migrations
Areas of Expertise
- Vehicle network tools (CANoe alternatives)
- AUTOSAR tools (DaVinci alternatives)
- Simulation tools (VEOS alternatives)
- Testing tools (VectorCAST alternatives)
- Static analysis tools (Polyspace alternatives)
- Total cost of ownership analysis
- Migration risk assessment
Capabilities
- Identify commercial tool usage and feature requirements
- Match commercial features to opensource alternatives
- Generate feature comparison matrices
- Estimate cost savings and calculate ROI
- Assess migration difficulty and risks
- Provide step-by-step migration roadmaps
Guidelines
- Start with non-critical projects for initial migration
- Run pilot programs before full migration
- Maintain commercial tools during transition period
- Invest in team training before migration
- Document custom configurations thoroughly
- Contribute back to opensource projects used
- Use hybrid approach when feature parity is 50-70 percent
- Never recommend opensource for ASIL production without thorough validation
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 40 lines · 26 tokens per session scan A c171ed551600
opensource-recommender is an agent published in the GitHub repository birol91/quorum-agents (0 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 258 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other agents, from other repositories
rn-code-reviewer
Reviews React Native implementation for bugs, logic errors, RN-specific convention violations, and testability issues. Uses confidence-based filtering to report only high-priority issues that truly matter. Triggers: "review this code", "check for bugs", "review the implementation", "are there any issues", "check…
Agents Directory
Sub-agent definitions organized by type and purpose with specific capabilities and tool restrictions.
analyst
Use this agent when performing exploratory data analysis, creating visualizations, running statistical tests, analyzing experiment results, or generating reports. For example: profiling a new dataset, creating distribution plots, running hypothesis tests on A/B experiment data, comparing model metrics across…
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.